{
    "data_id": "43427",
    "name": "Popular-Movies-of-IMDb",
    "exact_name": "Popular-Movies-of-IMDb",
    "version": 1,
    "version_label": "v1.0",
    "description": "Introduction\nTMDB.org is a crowd-sourced movie information database used by many film-related consoles, sites and apps, such as XBMC, MythTV and Plex. Dozens of media managers, mobile apps and social sites make use of its API.\nTMDb lists some 80,000 films at time of writing, which is considerably fewer than IMDb. While not as complete as IMDb, it holds extensive information for most popular\/Hollywood films.\nThis is dataset of the 10,000 most popular movies across the world has been fetched through the read API.\nTMDB's free API provides for developers and their team to programmatically fetch and use TMDb's data.\nTheir API is  to use as long as you attribute TMDb as the source of the data and\/or images. Also, they update their API from time to time.\nThis data set is fetched using exception handling process so the data set contains some null values as there are missing fields in the tmdb database. Thought it's good for a young analyst to deal with messing value.  \nHey  analyst are you all excited?",
    "format": "arff",
    "uploader": "Onur Yildirim",
    "uploader_id": 30126,
    "visibility": "public",
    "creator": null,
    "contributor": null,
    "date": "2022-03-23 13:18:41",
    "update_comment": null,
    "last_update": "2022-03-23 13:18:41",
    "licence": "CC0: Public Domain",
    "status": "active",
    "error_message": null,
    "url": "https:\/\/www.openml.org\/data\/download\/22102252\/dataset",
    "default_target_attribute": null,
    "row_id_attribute": null,
    "ignore_attribute": null,
    "runs": 0,
    "suggest": {
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            "Popular-Movies-of-IMDb",
            "Introduction TMDB.org is a crowd-sourced movie information database used by many film-related consoles, sites and apps, such as XBMC, MythTV and Plex. Dozens of media managers, mobile apps and social sites make use of its API. TMDb lists some 80,000 films at time of writing, which is considerably fewer than IMDb. While not as complete as IMDb, it holds extensive information for most popular\/Hollywood films. This is dataset of the 10,000 most popular movies across the world has been fetched throu "
        ],
        "weight": 5
    },
    "qualities": {
        "NumberOfInstances": 10000,
        "NumberOfFeatures": 6,
        "NumberOfClasses": null,
        "NumberOfMissingValues": 30,
        "NumberOfInstancesWithMissingValues": 30,
        "NumberOfNumericFeatures": 3,
        "NumberOfSymbolicFeatures": 0,
        "Dimensionality": 0.0006,
        "PercentageOfNumericFeatures": 50,
        "MajorityClassPercentage": null,
        "PercentageOfSymbolicFeatures": 0,
        "MajorityClassSize": null,
        "MinorityClassPercentage": null,
        "MinorityClassSize": null,
        "NumberOfBinaryFeatures": 0,
        "PercentageOfBinaryFeatures": 0,
        "PercentageOfInstancesWithMissingValues": 0.3,
        "AutoCorrelation": null,
        "PercentageOfMissingValues": 0.05
    },
    "tags": [
        {
            "uploader": "38960",
            "tag": "Computer Systems"
        },
        {
            "uploader": "38960",
            "tag": "Machine Learning"
        }
    ],
    "features": [
        {
            "name": "Unnamed:_0",
            "index": "0",
            "type": "numeric",
            "distinct": "10000",
            "missing": "0",
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    "nr_of_downvotes": 0,
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